We are working with a leading financial services organization undergoing a major transformation, leveraging AI to enhance client-facing products and internal workflows. This is an exciting opportunity for a
hands-on AI Product Engineer to join a small, agile engineering group within a larger, stable enterprise.
Key Responsibilities
Design and prototype AI-powered features using tools like OpenAI, Anthropic, and Google Vertex AI.
Develop full-stack solutions using Python and TypeScript in a Next.js / AWS Amplify stack.
Implement scalable, event-driven workflows with AWS Step Functions and Lambda.
Integrate and normalize financial data across formats including JSON, XML, and CSV.
Work cross-functionally with product, compliance, and operations teams to deliver production-ready solutions.
Troubleshoot and optimize LLM pipelines; prior experience with LangChain or similar frameworks is highly valuable.
Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning.
Ideal Candidate Profile
Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries.
Strong fluency in Python and TypeScript, and a deep understanding of APIs, data schemas, and backend workflows.
Demonstrated ability to work independently on complex technical challenges while collaborating closely with business stakeholders.
Passion for AI/LLM exploration - you may have personal or open-source projects demonstrating your curiosity and skills.
Comfortable balancing innovation with compliance, privacy, and security best practices.
Technology Stack
Languages: Python, TypeScript
Frameworks: Next.js, LangChain
Cloud & Infrastructure: AWS Amplify, AWS Lambda, AWS Step Functions
AI Platforms: OpenAI, Anthropic, Google (Gemini / Vertex AI)
Data Formats: JSON, XML, CSV
Dev Tools: Cursor, Windsurf, Loom (for async walkthroughs)
Why This Role
Opportunity to lead the AI transformation inside a globally recognized financial firm.
Work with modern tech and real-world data at scale - no "labs" or theoretical models.
Stability of an established company with the agility of a focused innovation team.
Strong emphasis on professional development, autonomy, and technical excellence.- Fully flexible work from anywhere (UK)
